Results 121 to 130 of about 435 (145)
Stochastic portfolio optimization: A regret-based approach on volatility risk measures: An empirical evidence from The New York stock market. [PDF]
PLoS OneLarni-Fooeik A, Sadjadi SJ, Mohammadi E.
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From PINNs to PIKANs: recent advances in physics-informed machine learning. [PDF]
Mach Learn Comput Sci EngToscano JD +6 more
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An approach to robust minimax receding horizon control problems (Mathematical Programming in the 21st Century : Optimization Modeling and Algorithms)openaire
Fast Interpretable Greedy-Tree Sums. [PDF]
Proc Natl Acad Sci U S ATan YS +8 more
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Research on the automation of intelligent accounting information processing process driven by neural networks. [PDF]
Sci RepCai M.
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Some of the next articles are maybe not open access.
Necessary optimality conditions for minimax programming problems with mathematical constraints
Optimization, 2017In this paper, necessary optimality conditions in terms of upper and/or lower subdifferentials of both cost and constraint functions are derived for minimax optimization problems with inequality, equality and geometric constraints in the setting of non-differentiatiable and non-Lipschitz functions in Asplund spaces.
Truong, Bao Q, Khahn, P., Gupta, P.
openaire +3 more sources
A Shuffle-Based Artificial Bee Colony Algorithm for Solving Integer Programming and Minimax Problems
Mathematics, 2021Ivona Brajevic
exaly
Minimax programming as a tool for studying robust multi-objective optimization problems
Annals of Operations Research, 2021Do Sang Kim, Kim Do Sang
exaly